test

传统的图像分割方法可以分为基于阈值、边缘、区域的方法等，而传统的分割方法在复杂图像分割中效果不好。为了提高图像分割的性能，我们提出了一种基于局部自适应窗口的Otsu方法。首先，分析了传统阈值法在复杂图像分割中不能很好地形成的原因，比较了全局阈值和局部阈值对图像分割的影响。其次，提出了根据局部信息自适应地改变局部窗口大小的方法，分析了该方法的特点。最后，证明了所提出的新方法优于其他方法。实验结果表明，与其他传统方法相比，该方法能保持更多的细节，获得更满意的结果。(The traditional image segmentation methods can be divided into thresholding, edge and region methods. The traditional segmentation methods do not perform well in the segmentation of complicated images. In order to improve the performance of image segmentation, we propose an adaptive windowed range-constrained Otsu method based on local information.First, the reason why traditional thresholding methods do not perform well in the segmentation of complicated images is analyzed. Therein, the influences of global and local thresholdings on the image segmentation are compared. Secondly, a method of adaptively changing the local window size based on local information is proposed, and the characteristics of the proposed method are analyzed. Finally, the superiority of the proposed method over other methods, It is validated by the experiments that the proposed method can keep more details and acquire much more satisfying results as compared with the other conventional methods.)

对灰度图像建立高斯金字塔，可以调整核的参数。(Establish Gaussian pyramid for gray-scale images to , you can adjust the reduce parameters.)

C# 批量转换图片格式 实例 附完整源码

说明：  基于GEE平台的Landsat5 SR影像去云及NDVI计算(Landsat5 SR image cloud removal and NDVI computing based on GEE platform)

SIFT代码，多用于图像拼接，匹配精度高(sciences code used for image stitching, matching high accuracy)

说明：  非下采样contourlet变换是一种较新的多尺度几何分析方法，能够很好地描述信号的线奇异特征，具有多方向滤波器组。(Nonsubsampled contourlet transform is a relatively new method of multiscale geometric analysis, can well describe the signal characteristics of the line singularity, with multi-directional filter.)

遥感影像可以用TIFF文件表示，为了读取遥感影像，可以使用python读取TIFF文件并进行重排(Remote sensing images can be represented by TIFF files. In order to read remote sensing images, TIFF files can be read and reshapeed by using Python)

图像去噪处理的TV全变分模型的Matlab代码实现(TV image denoising processing model of the entire variational Matlab code)

Real-time Specular Highlight Removal实现论文“Real-time Specular Highlight Removal Using Bilateral Filtering”中算法(Real-time Specular Highlight Removal Papers " Real-time Specular Highlight Removal Using Bilateral Filtering" in the algorithm)

图像分割 基于区域的分离和合并 实例 自己写的(SPLITMERGE Segment an image using a splil-and-merge algorithm.)